Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving

About the role

NVIDIA is seeking engineers to join their autonomous driving team to design, implement, and deploy advanced autonomous driving systems using NVIDIA chips in mass-produced vehicles. The focus is shifting from AI 1.0 to AI 2.0, which involves teaching an intelligent agent to drive through the use of large language models (LLMs), vision-language models (VLMs), and vision-language agents (VLAs).

Responsibilities

• Design and train innovative large-scale models including generative, imitation, and reinforcement learning to enhance the planning and reasoning capabilities of driving systems.
• Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications.
• Explore novel data generation and collection strategies to improve the diversity and quality of training datasets.
• Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met.

Requirements

• Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems.
• Deep understanding of modern deep learning architectures and optimization techniques.
• Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.
• Strong programming skills in Python and proficiency with major deep learning frameworks.
• Familiarity with C++ for model deployment and integration in safety-critical systems.
• Master's degree (or equivalent experience) with 13+ years of work experience in AV or related field or PhD with 11 years of work experience in AV or related field.

Qualifications

• Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics.
• Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems.
• Deep understanding of behavior and motion planning in real-world AV applications.
• Experience building and training large-scale datasets and models.
• Proven ability to optimize algorithms for real-time performance in resource-constrained environments.

Skills

• Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems.
• Deep understanding of modern deep learning architectures and optimization techniques.
• Strong programming skills in Python and proficiency with major deep learning frameworks.
• Familiarity with C++ for model deployment and integration in safety-critical systems.
• Experience with LLM/VLM/VLA systems deployable to autonomous vehicles or general robotics.
• Publications, open-source contributions, or competition wins related to LLM/VLM/VLA systems.
• Experience building and training large-scale datasets and models.
• Proven ability to optimize algorithms for real-time performance in resource-constrained environments.

Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $272,000 - $431,250. You will also be eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $272,000 - $431,250.

Schedule

The posting is for an existing vacancy. Applications will be accepted at least until March 23, 2026.

Contact Information

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.